Online soft measurement of NOx mass concentration for circulating fluidized bed boiler based on BP neural network
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Online soft measurement of NOx mass concentration for circulating fluidized bed boiler based on BP neural network
Thermal Power GenerationIssue 11, (2016)
作者机构:
1. 山西大学自动化系,山西,太原,030013
2. 山西平朔煤矸石发电有限公司,山西,朔州,036800
作者简介:
基金信息:
DOI:
CLC:TK39
Published Online:24 November 2016,
Published:2016
稿件说明:
移动端阅览
BAI Jianyun, ZHU Zhujun, ZHANG Peihua. Online soft measurement of NOx mass concentration for circulating fluidized bed boiler based on BP neural network[J]. Thermal power generation, 2016, (11).
DOI:
BAI Jianyun, ZHU Zhujun, ZHANG Peihua. Online soft measurement of NOx mass concentration for circulating fluidized bed boiler based on BP neural network[J]. Thermal power generation, 2016, (11).DOI:
Online soft measurement of NOx mass concentration for circulating fluidized bed boiler based on BP neural network
摘要
采用选择性非催化还原(SNCR)技术的循环流化床(CFB)锅炉产生的NOx质量浓度无法直接在线测量
阻碍了NOx排放的自动控制及经济运行。对此,本文以某300 MW CFB锅炉为例,采用软测量技术
分析影响烟气中生成NOx的主要因素为机组负荷和氧体积分数
对这2个因素分别采集现场数据
建立BP神经网络模型
并将该模型应用于新华DCS系统
实现了锅炉生成NOx质量浓度的在线预测。预测结果表明,软测量所得NOx质量浓度比传感器实测数据提前120 s